Author, as appears in the article.: Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: SOLÉ RIBALTA, ALBERT; GÓMEZ JIMÉNEZ, SERGIO; ARENAS MORENO, ALEJANDRO
Keywords: Phase transitions physics Congestion model Complex networks
Abstract: The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable for improvement and control. Here, we propose an idealized model, based on the critical phenomena arising in complex networks, that allows to analytically predict congestion hotspots in urban environments. Results on real cities¿ road networks, considering, in some experiments, real traffic data, show that the proposed model is capable of identifying susceptible junctions that might become hotspots if mobility demand increases.
Research group: Algorithms embedded in Physical Systems
Thematic Areas: Computer engineering Ingeniería informática Enginyeria informàtica
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2054-5703
Author identifier: 0000-0003-3474-7594; 0000-0003-1820-0062; 0000-0003-0937-0334
Record's date: 2016-11-02
Journal volume: 3
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: http://rsos.royalsocietypublishing.org/content/3/10/160098
Article's DOI: 10.1098/rsos.160098
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
First page: Art.num. 160098
Publication Type: Article Artículo Article
Repositori URV